点扩散函数
图像复原
反褶积
图像分辨率
计算机视觉
波前
光学
盲反褶积
亚像素分辨率
计算机科学
自适应光学
人工智能
图像处理
光传递函数
像素
图像传感器
数字图像处理
图像(数学)
物理
作者
Sang-Hyuck Lee,No-Cheol Park,Kyoung-Su Park,Young-Pil Park
标识
DOI:10.1364/josaa.27.002304
摘要
We propose an image-resolution upscaling method for compact imaging systems. The image resolution is calculated using the resolving power of the optics and the pixel size of a digital image sensor. The resolution limit of the compact imaging system comes from its size and the number of allowed lenses. To upscale the image resolution but maintain the small size, we apply wavefront coding and image restoration. Conventional image restoration could not enhance the image resolution of the sensor. Here, we use the upscaled image of a wavefront-coded optical system and apply an image-restoration algorithm using a more precisely calculated point-spread function (PSF) as the deconvolution filter. An example of a wavefront-coded optical system with a 5-megapixel image sensor is given. The final image had a resolution equivalent to that of a 10-megapixel image using only four plastic lenses. Moreover, image degradation caused by hand motion could also be reduced using the proposed method.
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